Jon Vik

K. Tøndel, J. O. Vik, H. Martens, U. G. Indahl, N. P. Smith and S. W. Omholt

Hierarchical Multivariate Regression-Based Sensitivity Analysis Reveals Complex Parameter Interaction Patterns in Dynamic Models

Chemometrics and Intelligent Laboratory Systems

H. Martens, K. Tøndel, V. Tafintseva, A. Kohler, E. Plathe, J. O. Vik, A. B. Gjuvsland and S. W. Omholt

PLS-Based Multivariate Metamodeling of Dynamic Systems

New Perspectives in Partial Least Squares and Related Methods

J. O. Vik, A. B. Gjuvsland, L. Li, K. Tøndel, S. A. Niederer, N. P. Smith, P. J. Hunter and S. W. Omholt

Genotype-Phenotype Map Characteristics of an in Silico Heart Cell

Frontiers in Physiology

K. Tøndel, U. G. Indahl, A. B. Gjuvsland, J. O. Vik, P. J. Hunter, S. W. Omholt and H. Martens

Hierarchical Cluster-Based Partial Least Squares Regression Is an Efficient Tool for Metamodelling of Nonlinear Dynamic Models

BMC Systems Biology